{"id":"W4286005714","doi":"10.1007/s11538-022-01030-6","title":"A Hybrid Epidemic Model to Explore Stochasticity in COVID-19 Dynamics","year":2022,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Centre for Blood Research, University of British Columbia; American Mathematical Society; Biotalent Canada; American Institute of Mathematics; Simons Foundation","keywords":"Coronavirus disease 2019 (COVID-19); Epidemic model; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Dynamics (music); Statistical physics; Biology; Computer science; Virology; Physics; Outbreak; Demography; Medicine; Infectious disease (medical specialty); Sociology; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001111873,0.0005768555,0.0009575214,0.001205743,0.0007871028,0.001561235,0.001575487,0.001860303,0.003099348],"category_scores_gemma":[0.003121827,0.0003839705,0.001238632,0.0008413594,0.0009973458,0.001861313,0.001890241,0.001239286,0.0002271519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105124,"about_ca_system_score_gemma":0.0008184985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005393317,"about_ca_topic_score_gemma":0.003423971,"domain_scores_codex":[0.9995123,0.0002625732,0.00001775746,0.00007443003,0.00005668065,0.00007620032],"domain_scores_gemma":[0.9984033,0.001044874,0.0001650136,0.00006351456,0.0001580509,0.0001653915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001100348,0.0001317846,0.003102258,0.0000896375,0.0001401529,0.0005101445,0.0002413247,0.5407956,0.002866401,0.4440401,0.002199576,0.005773036],"study_design_scores_gemma":[0.00001440478,0.00002135063,0.0001737621,0.00000424641,0.00001733521,0.00004928508,0.00002764643,0.9764248,0.00006876272,0.02269447,0.0004929806,0.00001101359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2812655,0.001340129,0.695513,0.002599058,0.0003225953,0.00008711805,0.0003737391,0.0001596659,0.01833913],"genre_scores_gemma":[0.9587331,0.0004519581,0.02881312,0.0002459082,0.0001359,0.00008619595,0.0001520998,0.00004133574,0.01134041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005393317,"threshold_uncertainty_score":0.01072389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3012647889088986,"score_gpt":0.432457505513157,"score_spread":0.1311927166042585,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}